artificial intelligence Archives

6 Ways AI Is Changing Photography and Photo Editing

Published on April 3, 2021April 12, 2021

Now, more than ever before, photography is an essential part of our lives. There are so many circumstances where we use photography that we sometimes even forget about it. We use it in identification, family albums, social media, art, and many other spheres. At the same time, technology has never advanced as fast as it is today, and the strength of the processor we used in 1969 to reach the moon is now so much weaker than what everyone has in their pocket. Yes, we are talking about our mobile phones. And the most recent advancement in technology is the development of AI. Artificial Intelligence is going to change so many things in every possible field. Photography is just one of the areas that are going to get so many benefits from it. So if you are already intrigued and want to acquire all these benefits, check out DVDFab Photo Enhancer AI. But if you are interested in learning more about how AI is changing photography and photo editing, continue reading.

1. Better sharpening

There is no worse thing than a blurry photo that cannot show all the beauty that should be seen. Luckily, there are many programs today that can easily solve that problem with only a few clicks. The real issue occurs when you have a photo that is almost impossible to improve because its quality is pretty bad. AI is offering more options than old programs, so with some plugins, it is possible to fix the photo that was unusable before. The great thing with them is auto settings which can be perfect for beginners who are still not sure how to use them. For those more experienced, there are manual settings that can sharpen the image, adjust the focus and the noise suppression, and stabilize it.

2. Restoring colors

Colorization used to be a difficult process done manually in the laboratory. Experts were spending hours returning colors to only one photo, which was a long and arduous job. With the advent of AI, this job has become much easier for everyone, so it is now possible to colorize the photo in just a few seconds. The best thing is that programs that use Artificial Intelligence can automatically add appropriate colors by recognizing the objects in the greyscale. Using them is not hard, so beginners can also learn them fast. All you need are a digital version of the black and white photo you want to colorize and a few seconds to do it.

3. Selecting details

This feature is probably one of the most used ones, especially among the younger population. It is reflected in the fact that with the help of AI, you can mark a detail in a photo that is important to you and then completely remove it from it. It has a dual purpose, meaning that you can save a certain detail and change the background around it or delete only that specific detail from the photo. That was also possible before with some programs, but it was a pretty tough and tangible job because every detail had to be marked manually. With AI, contour recognition is much easier, so the selection is completed almost automatically. It’s up to you to choose which detail is worth paying attention to and click on it.

4. Face detection

It was almost impossible to spot the familiar face in the photo of a big crowd, but with AI, doing that today is an easy task. Those programs are automatically recognizing familiar faces and marking them. Because of that, there is no need to input metadata manually and spend a lot of time on that. This option creates another one, and that is recognizing the gender and even age or ethnicity for every person in the photo, which can be useful for many studies. It can also make any search much easier because it is connecting visual similarities entered in previous searches. That is bringing the desired results faster and more precisely than before. Besides that, sorting the gallery is much simpler than ever because it is done automatically by facial recognition.

5. Scaling

One of the things we all want to do with pictures is to enlarge them as much as we can. It doesn’t matter if it is an up-close picture of someone, but we want to read something written somewhere in the photo or some detail like that. Perhaps it is a photo made from a distance, and we want to recognize someone in the background. We are always looking for reasons to enlarge an image. There were already some tools that could help in preserving details, but AI is going one step above that. By using AI algorithms, we can scale images and videos as well. Given how good images can be made with the help of AI and the assistance they can provide with scaling, all of our needs might soon be satisfied. It is going to be possible to take a picture of a city and observe pretty much anything in the distance.

6. Video frame interpolation

Video frame interpolation is a method that improves the frame rate. That is just another great advantage of using AI. Some researchers are even attempting to develop AI that can take old video footage without colorization and convert it to a modern type of 4K video with impressive frames per second. Some of these videos are really successful and popular on social media. And they really showcase how amazing can AI be and how many benefits they can add to Photography and photo editing. For video visit this site.

Conclusion

As we have seen, the future is here. Well, it is still going to be even better and more futuristic as time goes by, but that is just the nature of technology. And we should be happy that our photographs are going to be so much better and that we will be able to enjoy so many more details in them. And the only remaining question is, is there any limit to how better can the images become?

Top 8 Technology Trends and Jobs 2021 Will Bring

Published on February 8, 2021March 21, 2021

Technology

Technology is developing at staggering speeds, and it is only getting faster. This evolution enables faster change and progress. Careers in tech industry do not follow as fast, but they do evolve. IT professionals tend to recognize their new or expanded roles, as they constantly learn because they both want and need. Everyone should always stay in touch with the modern technology trends today. You need to set your eyes on the future and realize which skills you will need for jobs you want to do.Let us explore eight technology trends for the year 2021, as well as the jobs they will create.

8. Artificial Intelligence (AI)

Artificial Intelligence has undoubtedly already received great attention and continues to be a trend to watch. It more and more effects how we live, work and play, and yet it is only in the early stages of development. Other AI branches also appeared as well. AI are computer systems that mimic human intelligence. They perform tasks like recognizing images, patterns or speech, and they also make. AI can actually do these tasks much faster and more accurately than humans can.

7. Machine Learning

Machine Learning is one of the newer branches of AI. Here, computers are programmed in a way to learn how to do something they are not programmed to do. This basically means that they learn more by discovering patterns and exploring data. There are supervised and unsupervised learning, while Machine Learning also has subsets that include neural networks, natural language processing (NLP), and deep learning. Each offers different opportunities for specializing in career fields that constantly grow and improve.

6. Robotic Process Automation (RPA)

Process Automation is another technology developed to automate jobs. Essentially, it is the use of software to automate business processes like processing transactions, interpreting applications, dealing with data, and replying to emails. RPA serves to automate repetitive tasks people used to do, to give them more time to do more important work. However, not just menial tasks are automated, as 45 percent of activities we do could potentially be automated, like the positions of financial managers, CEOs and doctors.

5. Blockchain

Here, most people will think in relation to crypto currencies like Bitcoin. Blockchain however offers useful security in different ways. It is the data you can only add to, but not change in any other way.The fact that you cannot change it is why it is so secured.These are also consensus-driven so that nothing else can control the data. With blockchain, you do not need a third party to validate or even oversee any of your transactions.

4. Edge Computing

Cloud computing is currently mainstream, with giants like Amazon Web Services, Google Cloud and Microsoft Azure dominating the market today. Cloud computing and its adoption are still growing, with more and more businesses moving to their solutions. It is no longer an emerging technology, because Edge is. It is practically designed to bypass latency that cloud computing causes and get data to a data center for processing. In other words, it exists “on the edge,” or closer to where the computing needs to be. Edge can process time-sensitive data in very remote locations with little to no connection to one centralized location.

3. Virtual Reality (VR) and Augmented Reality (AR)

VR immerses the user in a virtual environment, while AR enhances the actual environment. VR has is at the moment mostly used for gaming and training. The popular Pokemon Go game is a great example of AR. Both have huge unexplored potential in education, training, entertainment, marketing, and perhaps even rehabilitation. They both could be used to train doctors, offer museum tours and experiences, enhance the theme parks and marketing, etc. The potential is next to limitless here.

2. Cyber Security

Cyber security is around for a while, and is evolving just as any other technology. There are always new threats, so security has to keep up. The hackers want to access all sorts of data illegally, and they will not stop, but continue to develop their skills to bypass the toughest security measures. Most new technology comes with enhanced security, for example hardware authentication, cloud technology and deep learning. Data loss prevention and behavioral analytics are also great ways of security in the cyber world. As long as hackers are active, cyber security will evolve and develop to defend us against them.

1. Internet of Things

Internet of Things (IoT) is the future. A lot of “things” are have WiFi connection, meaning that they could easily be connected to the Internet, as well as to each other. This is what IoT stands for. It enables cars, devices, home appliances, and everything else to be connected together and among themselves and exchange data over the Internet. Currently, we are in the beginning stages of IoT. The number of devices capable of this was 8.4 billion in 2017. It is actually expected for it to rise to a staggering 30 billion by the end of 2021. That is a lot of smart devices.

Investing Trends For 2021 and Beyond

Published on February 2, 2021February 9, 2021

Business

Building a good investment portfolio requires a lot of time, effort, careful planning, and consideration. Finding the right niche to invest in is not an easy task and it might be difficult to know where to search. One good way might be to start following the occurring, persistent trends which, when identified, could lead investors to the discovery of companies with immense growth potential. So here are some future investment trends one should watch out for.

1. Green Energy

In the green sector, the movement to energy storage dominates the market, along with wind and solar energy. Although the solar sector is typically a bit tougher due to massive competition, wind turbines have less of it. There are other areas of green energy that are abundant such as biomass, hydro, geothermal, waste-to-energy, and more.

2. 5G Wireless Network

The fifth-generation wireless networks or 5G will bring new standards for mobile networks such as higher data volume capabilities, faster speeds, and lower latency. They will bring about competition between service providers and help many applications such as virtual reality, autonomous vehicles, and mobile payments improve and make significant progress.

3. Financial Technology

Financial Technology or fintech for short is another investing trend that is worth keeping an eye on. The digitization of the services industry has been on the rise and financial technology stocks have become one of the hottest investments. Not only do they make traditional financial services more accessible, efficient, and affordable, but according to InvestoTrend, with the rapid adoption of online banking, digital payments, financial software, and other online financial services for consumers and businesses, fintech companies are only expected to continue significant revenue growth in the future.

4. Artificial Intelligence

Besides robots, AI is increasingly being used for analytics by Big Data as well. AI is empowering all sorts of industries and it is expected that within the next decade, artificial intelligence will contribute an estimated $15 trillion to the world economy. Half of these staggering economic gains will come from products containing AI technology, while the other half will result from improvements in labor productivity. Also, it is expected the technology will actually create more new jobs when compared to the ones it eliminates.

5. Electric Vehicles

Electric cars are rapidly growing in popularity and almost all major automakers are planning to launch their own versions. With the rising instability of the oil market, car manufacturers are racing to bring these vehicles onto the market. It is estimated that sales of electric cars will exceed $500 billion by 2025.

6. Cloud Computing

Usually stored in massive data centers, a global network of servers that act as one huge hard drive is known as the cloud. Its market is expected to grow to $331.2 billion by 2022, because the cloud takes processing and computing pressure off on-site servers, smartphones, or PCs, and gives users access to their data from any device.

Conclusion

Understandably, there is a certain disadvantage to investing in popular, fast-growing industries. Stocks in such segments tend to trade at extremely high prices. However, the investment might be very worthy if an investor is willing to hold onto the stocks for five years or a bit more.

The Most Important Service Trends for 2021

Published on December 8, 2020

Business

According to Groove, engaged clients spend 60% more per transaction and buy 90% more often than non-engaged customers. Going into 2021, the spotlight for businesses is on engaging with clients and improving the service experience.

An integral part of succeeding at this goal is to understand the most important service trends for 2021. With that in mind, this article will discuss the top areas your company should address to better engage with your clients.

Crisis Management

The COVID-19 pandemic made us change the way we do business. Going into 2021, companies must ensure that they’ve got a clear crisis management plan in place. They must then communicate the details of the plan to the clients that it affects.

Having a clear crisis management plan reassures clients that the firm is doing its best to keep them safe.

Enabling Remote Teams

According to SupportYourApp, one of the most important service trends is to enable remote teams. With modern technology, it’s simpler than ever for your team to work from wherever they’re most comfortable.

According to Forbes, allowing consultants to work from home may improve productivity levels by as much as 47%. It may take a little shuffling to get the service mix correct for the client, but having a happy team is well worth the effort.

Companies may even allow their customer service divisions to work remotely. For those firms without the resources to do so, outsourcing client support is a viable alternative.

Artificial Intelligence and Customer Service Chatbots

The start of the pandemic saw a rapid uptake in customer service chatbots. We can expect this trend to continue as businesses increasingly streamline their operations.

While artificial intelligence cannot match human interaction yet, it comes close. Close enough, that is, to answer simple queries. Chatbots may become valuable service representatives, on-call twenty-four hours a day.

For those more complicated queries, firms will continue to rely on live support instead. Our new normal will be a hybrid of human and bot support.

Self-Service Options

In 2021, we’ll see the rise of more independent clients. These are customers who prefer to find the solutions themselves before contacting client support. Providing your clients with a robust set of self-service options is one of the most important service trends because it helps your customers save time.

Interactive menus, automated responses, and a comprehensive knowledge base work together to provide your clients with the self-service support they require.

Customer Success

Customer success is not a new concept. It is, however, one that’s becoming increasingly important. Clients are becoming increasingly intolerant of companies that don’t help them reach their desired outcomes.

Companies must reach out to their customers to ensure that they understand the product features and get the best use. Such communications must be kept distinctively different from sales calls, as the focus is on providing service for the client.

Customer Service via Social Media

Businesses must provide support where its most convenient for their clients. Today social media assists them in doing that. While many companies balk at the idea of allowing the public to lodge complaints on an open forum, the benefits outweigh the risks.

These benefits include:

Publicly answering complaints demonstrates your commitment to customer service.
Improved engagement with clients as you may answer queries and share resources with them.
Taking proactive steps to deal with confusion about a new product or service.
Acknowledging positive reviews leaves a positive impression on the client’s mind.

Using Video

Until now, video has been primarily reserved for marketing. Going into 2021, brands will look for ways to harness this tool for customer service as well. We’ll go beyond the typical tutorial video and move into:

Live streams where clients may pose questions
Courses that explain features
Troubleshooting videos
Face-to-face support via video chat

Live Client Support

While more customers are willing to try self-help options, they also want to know that live support is there if they require it. Consumers today expect companies to provide 24/7 support, even if it’s through a chatbot.

It’s beneficial for the business as well. When a client has a query that they cannot resolve with you, they’ll find someone who may assist them.

Personalized Service

Again, the lines between the marketing and service worlds are blurring. Going forward, businesses should start to look for ways to personalize the service experience.

It starts with full access to the customer’s interactions with the company. Service consultants should be able to see the client’s purchase history and what they’ve browsed through online. Agents must also be able to access all the relevant data pertaining to queries, complaints, and returns.

Issues that the client experiences today may well be due to this past data.

Firms may simplify the process by categorizing clients in terms of buying behaviors and demographics. It may be helpful to create personas for the customers and see where each client fits.

The benefit of doing this extra work is that agents may then provide personalized recommendations based on past purchases or service issues. Where, for example, the client was unable to grasp a particular feature, consultants may provide simpler alternatives.

Consultants may also see which promotions spurred clients to take action in the past and offer similar ones.

Increased Security

Today’s client is far more tech-savvy. They understand the risks of sharing their data and look for ways to protect their information actively. This, and the increased propensity for businesses to allow remote working, means that firms must ramp up their cybersecurity efforts.

They should review their cybersecurity protocols and physical security protocols to ensure that there are no gaps.

Final Notes

2021 promises to be an interesting year. The service trends that we see coming to the fore are nothing ground-breaking. As in most other years, they’re items that have been developing for some time. The difference this year is businesses must be proactive in adopting the trends.

COVID-19 has made the business environment even more competitive, and firms cannot take the chance of falling behind.

5 Data Analytics Trends That You Should Know This 2020

Published on May 5, 2020

Business

It was once said that humans are not only creatures of emotion but also creatures of logic. Because of our intelligence, we can reach logical conclusions without losing our cool. When it comes to running a business, creating strategies, and attracting leads, data analytics helps you make better decisions. According to the 2020 Global State of Enterprise Analytics Report, 94% of business professionals agree that data analytics is essential to their business’ growth. With the tools they use to gather information, 45% of companies concede that they were able to innovate their existing business models. More and more, we are seeing businesses gain enthusiasm and find the means for making better-informed decisions with the rise of digital data analytics.

In the rise of big data, cloud storage, the Internet of Things, and artificial intelligence, experts at Quanthub say that companies big and small today tend to hire those with data engineer skills. As we go through the second quarter of 2020, here are five of the many trends that are taking the analytics world by storm:

1. Tools That Have Augmented Analytics

This type of analytics uses automation instead of manual configuration. Without regular monitoring needed, automated Customer Relationship Management software or CRMs are able to gather essential insights without needing other software integrations. Through the help of machine learning and artificial intelligence, these tools can observe data and pose relevant queries that may affect the bottom line of the company. By crunching the numbers and recognizing patterns quickly, AI and ML augment our problem-solving skills and helps us solve any potential problems before they even happen.

In line with this, Explainable and commercial AI and ML are starting to fill the market. As open-source platforms have been developing these, businesses are now providing avenues to connect to these platforms and make them available to the general public. By making sure that each model comes with descriptions of their capabilities and behaviors, businesses can help higher institutions regulate these technologies.

2. Data Analytics and blockchain

In recent years, blockchain has been associated with cybersecurity because of its advanced encryption technology. This has been used to securely track assets and transactions to provide transparency for all the parties involved while making sure third parties are kept out. While it is not yet available to the market, there is a growing need to integrate the data stored on blockchain systems to streamline management and recording.

As blockchain technology continues to evolve, businesses and customers are starting to combine data security and analytics. Today, we are not only looking for clean data but also high-quality and GDPR-compliant ones.

3. Internet of Things and predictive analytics

Internet of Things or IoT allows different devices to receive and send data to other smart appliances via the Internet. In 2020, IoT solutions providers might be able to create a more holistic approach and combine different channels of IoT analytics into a single stream.

As analytics is also shifting towards future conditions and trends, tools that help businesses forecast these will become more popular. When this IoT and predictive analytics go hand-in-hand with automation, companies will be able to create personalized strategies for their target market based on their current behavior. Not only will this streamline decision-making processes within different organizations but also keep KPIs timely, accurate, and precise.

4. Introduction of persistent memory technology

As opposed to the most common database management systems (DBMS), persistent memory servers allow businesses to export insights from existing data without waiting for the server to load. While it is not yet out to the market, companies are eyeing this type of technology to deal with the disadvantages of in-memory database structures. With more information being stored in servers, the lack of memory and speed can ultimately affect business performance.

By using persistent memory, businesses can access large, complex data sets and environments that are otherwise sensitive to downtimes caused by system crashes or power failures. This means that with persistent memory, there will be no more need to reload data from disks or to cache company data in memory throughout the lifetime of a company’s server. Moreover, by using persistent memory for their servers, businesses will only have to store their data and use them as necessary.

When this is paired with real-time intelligence, companies can improve on decisions and strategies as current trends dictate without their processor failing on them. According to Gartner, it is expected that more than 50% of startups will be using “continuous intelligence” by 2022.

5. Increased Use of Graph Analytics

As data analytics grows more complex, business owners often find themselves asking more complicated questions that they couldn’t answer with unorganized data. Because organizations use different tools to measure engagement, conversion, and nurturing, there is a growing need to simplify complex information. People are now turning to graph analytics to present correlations and predictions easily. By using different charts, maps, and infographics, data are visually crunched to be more palatable to the eyes and mind. According to Gartner, this type of process will increase a hundredfold every year to aid data science.

Graph analytics are mostly used and applied for marketing, business operations, healthcare, and even national security. Each of these sectors makes use of one of the four main types of graph analytics, namely: centrality analysis, community detection, connectivity analysis, and path analysis.

Such analyses are performed with the help of graph database tools that connect nodes and create relationships in the form of graphs, which can then be easily interpreted by its users. Some of these popular tools are Amazon Neptune, ArangoDB, Cayley, Data Stax, Titan, FlockDB, Neo4j, OrientDB, and many more.

Whether you are a business owner or consumer, it is essential to recognize the technological changes around us. The possibilities seem endless. With the continuous growth and development of technology, we can expect both digital disruption and opportunity. As the speed of innovation increases, businesses of today must meet and keep up with the customers of tomorrow to stay ahead of the curve.

How LMS Can Make Your Job Easy

Published on January 8, 2020

Business

With technology evolving at a rapid rate, organizations face a dilemma of finding the right experts for developing the latest piece of tech. Bigger organizations with a lot of support can do this, but small and medium-sized companies don’t have the resources to hire an expert for their every need.

So, here the SMB’s can train their existing employees by offering them the latest courses through Learning Management Software or LMS. An LMS software provides tracking, reporting, and delivery of educational courses for training purposes in an organization. Check out some top tier learning management software companies at GoodFirms.

What are your training objectives?

Before you start with your research to find the best Learning management software out there, take a deep breath, sit down and make a list as to why you need the LMS tool in the first place.

Depending on your industry, every business has its own objectives that they want to achieve by using the LMS tool. But not all LMS tools out there will suit your needs, you need to have a clear list of objectives before you go out and buy any tool.

Not only will it save you time and your organization money, but it will also give you an insight into what are your organization’s needs.

Which type of platform suits your needs?

Mainly LMS software can be separated into two types that are Cloud-based and Self-hosted. To choose between these two platforms is a decision that you must make based on your organization’s needs.

There are pros and cons to both of the entities. If you chose to go with the Cloud-based, then it can save a lot of your money and effort. As the whole system is based on a cloud and can be accessed from anywhere in the world, it provides excellent flexibility. You don’t need to invest in any hardware, and the managers can easily log in and access everything.

On the other hand, with the self-hosted, you can get the same things; however, with the downside of losing a bit of flexibility. Also, you need a team to handle the servers, applications, databases, and budgeting.

If you have just started out in the industry and want to expand rapidly with a small team, then cloud-hosted LMS is your best choice as it will also save some money for you. While if you are a well-established organization with a group, then you can go with the self -hosted LMS platform.

The self-hosted platform can also be expanded, but it needs an internal dedicated team as users grow the servers will also increase.

What features does your business need?

One of the crucial criteria for buying LMS software is to, first of all, decide what features does your organization requires in order to meet their needs.

Course creation

This one of the features without which your learning management system is useless. Administrators can easily create and manage more courses to deliver more targeted learning. The LMS should be able to offer the user the ability to arrange sessions by dragging and dropping the content so they can have access to those things

Reporting

Being able to track and measure the progress your learner has been making is a massive bonus. The LMS should also provide learning insights based on the learner’s activity. If the LMS is able to automate the ability to export the report, it is a great advantage.

Responsive design

In today’s age, the attention span of an average user is decreasing, so it is essential that your LMS software can grab the user’s attention. Having a responsive design can offer the learner the capability to access the course anywhere on any mobile device at their convenience.

Integration

The ability to integrate with other modules makes an LMS software a lot more valuable. This allows the organization as well as the learners to quickly scale up their learning by integrating newer modules with the LMS tool.

Sales training

LMS is also the platform to enable the sales department with new information about the latest products or services launched. The LMS tool offers exact knowledge that a salesperson needs at the moment they need it. It also enables fast onboard training for new hires so they can quickly make their way to be top performers.

Artificial Intelligence (AI)

The integration of artificial intelligence, along with machine learning under the hood of an LMS, can go a long way in providing the user with personalized suggestions. This way, an LMS tool can offer the learner the best course suited for them and suggests topics related to the classes they’ve completed.

How to get started?

After going through the whole post, you may have a clear idea of how you can pick the best solution for your learning management needs. One of the best ways to decide which tool will be best for you is to test yourself. Get your hands on one of the LMS software and use it for a trial period; if you like it, you can keep it; otherwise, there are a lot more other options that you can try out.

If you are still feeling overwhelmed and confused, you can check out the GoodFirms list for the top LMS software; it might give you a much-needed push in the right direction.

AI and the Next Big App

Published on September 20, 2019November 17, 2019

Business

Artificial Intelligence (AI) and its growing impact on businesses and individuals alike have become a major talking point across not only the tech sector, but also in healthcare, finance, and the service industries.

From virtual assistants such as Alexa and Siri, to chatbots being employed by the world’s biggest banks to improve both efficiencies as well as service, AI is having a considerable impact on how consumers interact with the business.

The number of consumers who engage with virtual assistants is expected to exceed one billion globally this year. This should come as no surprise as AI-powered technology is within reach of nearly one-third of all North Americans. Visit GuaranaTechnologies.com to learn more about how AI is having a transformative effect on every industry from food delivery to banking and finance, through DVAs and other tech-centric consumer products.

Customer Service Automation

As advances in natural language processing continue to open up how machines and humans interact, consumers are finding it more and more difficult to distinguish between a chatbot and an actual living, breathing human customer service representative.

Thanks to improved abilities to recognize emotional shifts through tone, chatbots are able to resolve customer issues without human intervention — often without the customer knowing they were talking to an AI-assisted application.

How to Capitalize

So how does your business harness the power of AI? With the right virtual assistant or chatbot app, of course. The right mobile app development company can help you to integrate the right AI into your virtual assistant app to maximize the overall user experience, whether that’s through creating advanced AI responses to consumer queries, tailoring product recommendations, or mobilizing user data to personalize their time on the app.

Look for a mobile app developer that

Sees itself as a partner and not merely a service provider
Believes in a lean process, cutting task bloat to bring you a more efficient design process
Understands the fact that less bureaucracy means faster turnaround times

With the right developer helping you realize the vision of your app, you’ll rest assured knowing you have a strong team there every step of the way from ideation to wireframing to launch to quality assurance after the fact.

The App Store

Once you’ve designed and developed your app with the help of the right company, you’ll need to get it into the hands of users.

A great place to start is with the app’s description in the app store. It might seem obvious, but with nearly four million apps available to Android users and more than two million for Apple users, you need an enticing description at the app store if you want any chance of standing out from the crowd.

Explain the key features that make your app unique. Tell them what problem your app can solve for users, and how can it simplify their lives. Clarity about the benefits of your mobile app will encourage users to go with you over the myriad competitors out there.

If you have the next big idea for an app that harnesses the power of AI, make sure you find the right developer and understand how best to display your app on the app store. You’ll be glad you did.

Oleg Vasilyev – the 20 Year Journey of a Data Scientist

Published on August 8, 2019December 22, 2019

Business/Technology

Oleg Vasilyev, a Russian Data Scientist who lives in San Francisco, founded Vasilyev Algorithms, where he provided advice, developed and provided solutions for a number of clients, before moving on to work in the field of Artificial Intelligence.

Educated in Theoretical and Mathematical Physics at Lomonosov Moscow State University (established in 1755) and in Mathematical Physics at Semenov Institute of Chemical Physics of Russian Academy of Sciences (RAS) (established in 1931), Vasilyev began his career in 1998 at Hyseq Pharmaceuticals as a Software Engineer in Sunnyvale, California. His next steps up the career ladder came when he became the Data Manager of Aames Financial Corporation in Los Angeles for a year. His last career move before founding his own company was as the Director of Artificial Intelligence and Senior Software Developer at Nethesive.com.

His education and work experience over a three-year period made it possible for him to then establish his own business. Over the next 12 years, he delivered solutions based on the application of pattern recognition and neural networks to a number of clients as a private consultant. Some of these clients included OSI Systems, Inc. Kaiser Permanente, Archimedes, Inc., and Achieve Financial Services, LLC.

Andrew Pavelyev, a Mathematical Modeler who worked with Vasilyev at Kaiser Permanente and Archimedes, Inc. said that Vasilyev always did a great job using state of the art machine learning techniques, particularly neural networks.

After gaining all he could from being a consultant and making a name for himself, he went on to be the Senior Software Engineer at Analatom, Inc. There he spent the next ten months designing and developing an application for intelligent data cleaning and annotation, before becoming the Senior Data Scientist, and later the Staff Data Scientist at Conviva in October 2018. There, he was part of Conviva’s vision to offer solutions for online video optimization and online video analytics.

As a Senior Data Scientist, Vasilyev worked on quality-engagement and predictive modeling projects, where he applied machine learning on Spark. His experience in applying neural networks to images, health and financial profiles helped him achieve the company’s goal of providing quality metrics that provide a comprehensive view of the online video business.

In the last five months of his career with the company, he dealt with Led Deep learning initiative. In this role, he created new content while also being on the cutting edge of content engagement predictions.

For the past year, Vasilyev has been applying his expertise and experience as a Staff Machine Learning Engineer at Primer AI, a machine intelligence company in San Francisco. Vasilyev works with a team to build machines that can read and write, while also analyzing large datasets. This technology is used by some of the world’s largest government agencies.

Apart from his stable work output and employment in companies in America which have given him the chance to grow within the industry, and in turn, give back to the world of science, Vasilyev has also passed on his experience in summits. The latest being the Spark+AI summit in San Francisco where he was a speaker. He also spoke about assigning responsibility for deteriorations in video quality at the summit in 2017, when he was part of the Conviva team.

During his 20 plus years of working in the field of physics and science, Vasilvey has obtained the know-how and experience to link science, maths, software engineering, and database design together to discover more about the world around us and help us understand and use Artificial Intelligence to our advantage.

https://www.linkedin.com/in/olegvasilyev

1 2 Next